Multi-agent Online Learning with Asynchronous Feedback Loss

We consider a game-theoretical multi-agent learning problem where the feedback information can be lost and rewards are given by a broad class of games known as variationally stable games. We propose a simple variant of the online gradient descent algorithm, called reweighted online gradient descent (ROGD) and show that in variationally st...More